Oonagh M. Giggins
ABSTRACT
Despite the anticipated benefits associated with the use of interactive feedback tools, the adoption of these technologies into clinical practice has not yet been widespread. Initial usability studies and anecdotal evidence suggests that interactive technology supports are effective in rehabilitation, yet they don't seem to satisfy the needs or the expectations of clinicians and patients. This paper outlines a proposed approach to the design, development and selection of interactive technology supports for use in rehabilitation. The proposed process comprises seven stages; 1) understanding the clinical challenge, 2) identify the benefits that a technology support may offer, 3) devise a modified care pathway, 4) outline the design specification for an interactive technology support, 5) ascertain whether other solutions exist, 6) develop interactive platform, 7) and finally evaluate. In this paper we outline this approach using orthopaedic rehabilitation as a specific example, however the same basic principles can be applied to many different rehabilitation groups.
- van den Heuvel, M.R.C, Kwakkel, G., Beek, P.J., Berendse, H.W., Daffertshofer, A., and van Wegen, E.E.H. 2014. Effects of augmented visual feedback during balance training in Parkinson's disease: A pilot randomized clinical trial. Parkinsonism and Related Disorders. 12:1352--1358. DOI= http://10.1016/j.parkreldis.2014.09.022.Google Scholar
Cross Ref
- Lange, B., Chang, C.Y., Suma, E., Newman, B., Rizzo, A.S., and Bolas, M. 2011. Development and evaluation of low cost game-based balance rehabilitation tool using the Microsoft Kinect sensor. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC. Boston, MA, USA. DOI= http://10.1109/IEMBS.2011.6090521Google ScholarCross Ref
- Brichetto, G., Spallarossa, P., de Carvalho, M.L., and Battaglia, M.A. 2013. The effect of Nintendo® Wii® on balance in people with multiple sclerosis: a pilot randomized control study. Multiple Sclerosis. 19(9):1219--1221. DOI= http://10.1177/1352458512472747.Google ScholarCross Ref
- WHO. Chronic Rheumatic Conditions. Fact Sheet. Geneva: 2014.Google Scholar
- Bennell, K.L., and Hinman, R.S. 2011. A review of the clinical evidence for exercise in osteoarthritis of the hip and knee. Journal of science and medicine in sport / Sports Medicine Australia. 14(1):4--9. DOI= http://10.1016/j.jsams.2010.08.002Google ScholarCross Ref
- Roddy, E., Zhang, W., and Doherty, M. 2005. Aerobic walking or strengthening exercise for osteoarthritis of the knee: A systematic review. Annals of the rheumatic diseases. 64(4):544--548.Google ScholarCross Ref
- Fransen, M., McConnell, S., and Bell, M. 2002. Therapeutic exercise for people with osteoarthritis of the hip or knee. A systematic review. The Journal of Rheumatology. 29(8):1737--1745.Google Scholar
- Bartels, E.M., Lund, H., Hagen, K.B., Dagfinrud, H., Christensen, R., Danneskiold-Samsoe, B. 2007. Aquatic exercise for the treatment of knee and hip osteoarthritis. Cochrane Database of Systematic Reviews. 4.Google Scholar
- Friedrich, M., Cermak, T., and Maderbacher, P. 1996. The effect of brochure use versus therapist teaching on patients performing therapeutic exercise and on changes in impairment status. Physical Therapy. 76(10):1082--1088.Google ScholarCross Ref
- Martin-Moreno, J., Ruiz-Fernandez, D., Soriano-Paya, A., and Berenguer-Miralles, V.J. 2008. Monitoring 3D movements for the rehabilitation of joints in physiotherapy. 2008 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC. Vancouver, British Columbia, Canada. DOI= http://10.1109/IEMBS.2008.4650296.Google ScholarCross Ref
- Bassett, S.F. 2003. The assessment of patient adherence to physiotherapy rehabilitation. New Zealand Journal of Physiotherapy. 31(2):60--66.Google Scholar
- Cameirao, M.D.S., Badia, S.B.I., Duarte, E., and Verschure, P.F.M.J. 2011. Virtual reality based rehabilitation speeds up functional recovery of the upper extremities after stroke: a randomized controlled pilot study in the acute phase of stroke using the Rehabilitation Gaming System. Restorative Neurology and Neuroscience. 29(5):287--298. DOI= http://10.3233/RNN-2011-0599.Google ScholarCross Ref
- Henderson, A., Korner-Bitensky, N., and Levin, M. 2007. Virtual reality in stroke rehabilitation: a systematic review of its effectiveness for upper limb motor recover. Topics in Stroke Rehabilitation. 14(2):52--61.Google ScholarCross Ref
- Linde, S.M., Reiss, A., Buchanan, S., Sahu, K., Rosenfeldt, A.B., Clark, C., Wolf, S.L., and Alberts, J.L. 2013. Incorporating robotic-assisted telerehabilitation in a home program to improve arm function following stroke. Journal of Neurologic Physical Therapy. 37 (3):125--132. DOI= http://10.1097/NPT.0b013e31829fa808.Google ScholarCross Ref
- Russell, T., Buttrum, P., Wootton, R., and Jull, G. 2011. Internet based outpatient telerehbailitation for patients following total knee arthroplasty. Journal of Bone and Joint Surgery. 93(2):113--120. DOI= http://10.2106/JBJS.I.01375.Google ScholarCross Ref
- Tousignant, M., Moffet, H., Boissy, P., Corriveau, H., Cabana, F., and Marquis, F. 2011. A randomized controlled trial of home telerehabilitation for post-knee arthroplasty. Journal of Telemedicine and Telecare. 17:195--198. DOI= http://10.1258/jtt.2010.100602.Google ScholarCross Ref
- Tousignant, M., Moffet, H., Nadeau, S., Merette, C., Boissy, P., Corriveau, H., Marquis, F., Cabana, F., Ranger, P., Belzile, É.L., and Dimentberg, R. 2015. Cost Analysis of In-Home Telerehabilitation for Post-Knee Arthroplasty. Journal of Medical Internet Research.17(3):e83. DOI= http://10.2196/jmir.3844.Google ScholarCross Ref
- Fung, V., Ho, A., Shaffer, J., Chung, E., and Gomez, M. 2012. Use of Nintendo Wii Fit™ in the rehabilitation of outpatients following total knee replacement: a preliminary randomised controlled trial. Physiotherapy. 98(3):183--188. DOI= http://10.1016/j.physio.2012.04.001.Google ScholarCross Ref
- Negus, J.J., Cawthorne, D.P., Chen, J., Scholes, C.J., Parker, D.A., and March, L.M. 2015. Patient outcomes using Wii-enhanced rehabilitation after total knee replacement - the TKR-POWER study. Contemporary Clinical Trials. 40:47--53. DOI= http://10.1016/j.cct.2014.11.007.Google ScholarCross Ref
- Brutovsky, J., and Novák, D. 2006. Low-cost motivated rehabilitation system for post-operation exercises. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC. New York, USA.Google Scholar
- Tseng, Y.C., Wu, C.H., Wu, F.J., Huang, C.F., King, C.T., Lin, C.Y., Sheu, J.P., Chen, C.Y., Lo, C.Y., Yang, C.W., and Deng, C.W. 2009. A wireless human motion capturing system for home rehabilitation. The International Conference of Mobile Data Management. Taipei, Taiwan. Google ScholarDigital Library
- Milenkovic, M., Jovanov, E., Chapman, J., Raskovic, D., and Price, J. 2002. An accelerometer-based physical rehabilitation system. The Thirty-Fourth Southeastern Symposium on System Theory. Huntsville, Alabama, USA.Google Scholar
- Chen, K., Chen, P., Liu, K., and Chan, C. 2015. Wearable Sensor-Based Rehabilitation Exercise Assessment for Knee Osteoarthritis. Sensors (Basel). 15(2):4193--4211. DOI= http://10.3390/s150204193.Google ScholarCross Ref
- Taylor, P.E., Almeida, G.J.M., Hodgins, J.K., and Kanade, T. 2012. Multi-label classification for the analysis of human motion quality. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC. San Diego, Calafornia, USA. DOI= http://10.1109/EMBC.2012.6346402.Google Scholar
- Piqueras, M., Marc, E., Coll, M., Escalada, F., Ballester, A., Cinca, C., Belmonte, R., and Muniesa, J.M. 2013. Effectiveness of an interactive virtual telerehabilitation system in patients after total knee arthroplasty: A randomized controled trial. Journal of Rehabilitation Medicine. 2013;45:392--396. DOI= http://10.2340/16501977-1119.Google Scholar
- Ayoade, M., and Baillie, L. 2014. A novel knee rehabilitation system for the home. Proceedings of the 32nd annual ACM conference on Human factors in computing systems. Toronto, ON, Canada. Google ScholarDigital Library
- Giggins, O.M., Sweeney, K.T., and Caulfield, B. 2014. Rehabilitation exercise assessment using inertial sensors: a cross-sectional analytical study. Journal of Neuroengineering and Rehabilitation.11:158. DOI= http://0.1186/1743-0003-11-158.Google ScholarCross Ref
- Proposed Design Approach for an Interactive Feedback Technology Support in Rehabilitation
Recommendations
Implementation of Rehabilitation Exercise Posture Determination System Based on CNN Using EMG and Acceleration Sensors
Intelligent Human Computer InteractionAbstractA number of musculoskeletal disorders occur worldwide in occupations that perform physically demanding tasks. In order to treat musculoskeletal disorders, rehabilitation must be performed, but it is not easy to correctly perform rehabilitation ...
Rehabilitation exercise feedback on Android platform
WH '11: Proceedings of the 2nd Conference on Wireless HealthIn this paper, we present an overview of the VITFIZ platform. VITFIZ is a mobile exercise system which we have developed for the provision of personalized feedback to patients performing rehabilitation exercise. VITFIZ has been developed in response to ...
An Interactive Training System Design for Ankle Rehabilitation
Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk ManagementAbstractAnkle sprain is a common trauma, most patients can recover by non-surgical treatments. However, prolonged immobilization of ankle sprains is a common treatment error. After ankle sprain, patients should keep rehabilitation exercises to recover to ...
Comments